Workflows
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COVID-19 sequence analysis on Illumina Amplicon PE data
This workflow implements an iVar based analysis similar to the one in ncov2019-artic-nf, covid-19-signal and the Thiagen Titan workflow. These workflows (written in Nextflow, Snakemake and WDL) are widely in use in COG UK, ...
COVID-19: variation analysis on WGS SE data
This workflows performs single end read mapping with bowtie2 followed by sensitive variant calling across a wide range of AFs with lofreq and variant annotation with snpEff 4.5covid19.
COVID-19: variation analysis on WGS PE data
This workflows performs paired end read mapping with bwa-mem followed by sensitive variant calling across a wide range of AFs with lofreq and variant annotation with snpEff 4.5covid19.
This workflow extracts 5 different time periods e.g. January- June 2019, 2020 and 2021, July-December 2019 and 2020 over a single selected location. Then statistics (mean, minimum, maximum) are computed. The final products are maximum, minimum and mean.
Description
The workflow takes an input file with Cancer Driver Genes predictions (i.e. the results provided by a participant), computes a set of metrics, and compares them against the data currently stored in OpenEBench within the TCGA community. Two assessment metrics are provided for that predictions. Also, some plots (which are optional) that allow to visualize the performance of the tool are generated. The workflow consists in three standard steps, defined by OpenEBench. The tools needed ...
Type: Nextflow
Creators: José Mª Fernández, Asier Gonzalez-Uriarte, Javier Garrayo-Ventas
Submitter: Laura Rodriguez-Navas
Summary
This notebook shows how to integrate genomic and image data resources. This notebook looks at the question Which diabetes related genes are expressed in the pancreas?
Steps:
- Query humanmine.org, an integrated database of Homo sapiens genomic data using the intermine API to find the genes.
- Using the list of found genes, search in the Image Data Resource (IDR) for images linked to the genes, tissue and disease.
We use the intermine API and the IDR API
The notebook can be launched ...
atavide
is a complete workflow for metagenomics data analysis, including QC/QA, optional host removal, assembly and cross-assembly, and individual read based annotations. We have also built in some advanced analytics including tools to assign annotations from reads to contigs, and to generate metagenome-assembled genomes in several different ways, giving you the power to explore your data!
atavide
is 100% snakemake and conda, so you only need to install the snakemake workflow, and then
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Exome SAMtools Workflow
Exome Alignment Workflow